华侨大学学报（自然科学版）2012，Vol.33Issue(4)：446-450,5.
厦门市工程估价的RBF神经网络预测模型
Prediction Model of the Project Cost Estimation Based on RBF Neural Network
摘要
Abstract
55 typical engineering cost indexes in Xiamen city were selected and analyzed, to obtain the correlation of engineering features and training samples by SPSS statistical analysis software. Based on radial basis function (RBF) neural network theory, the project cost estimation model is established. Selecting the net=newrb (P,T,0. 01,1. 0) to establish RBF network through the test, using ;y=sim (netl,P) to train and test, the calculation results show that the model has the advantage of convenient calculation, the estimation error is small and allowable, and the model is worth in the project prediction estimation.关键词
工程估价/预测模型/径向基函数/人工神经网络/厦门市Key words
project cost estimations prediction model? radial basis function/ artificial neural network/ Xiamen city分类
建筑与水利引用本文复制引用
叶青..厦门市工程估价的RBF神经网络预测模型[J].华侨大学学报（自然科学版）,2012,33(4):446-450,5.基金项目
中央高校基本科研业务费专项资金资助项目(JB-ZR1162) （JB-ZR1162）
福建省泉州市科技计划项目(2009Z52) （2009Z52）
华侨大学高层次人才科研启动项目(12BS131) （12BS131）
